With the popularity of online education, understanding and improving beginning instructors’ teaching competencies is crucial to improve education. The structure perceived was widely discussed, it also confirmed that level would be varied across countries different cultural backgrounds. Followed U.S. theoretical framework, some studies discussed differences between Chinese instructors. But how i...

This paper investigates the asset allocation problem when returns are predictable. We introduce a market-timing Bayesian hierarchical (BH) approach that adopts heterogeneous time-varying coefficients driven by lagged fundamental characteristics. Our estimates conditional expected and residual covariance matrix jointly enables evaluating estimation risk in portfolio analysis. The prior allows mo...

Most of previous works and applications Bayesian factor model have assumed the normal likelihood regardless its validity. We propose a for heavy-tailed high-dimensional data based on multivariate Student-t to obtain better covariance estimation. use multiplicative gamma process shrinkage prior number adaptation scheme proposed in Bhattacharya Dunson [Biometrika 98(2):291–306, 2011]. Since naive...